Ming Hao Teo, Developer in Singapore, Singapore
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Ming Hao Teo

Verified Expert  in Engineering

Bio

Ming is a data scientist with full-stack experience delivering end-to-end projects from POC, data analytics, data engineering, models, and MLOps. He has experience working across various functionalities and domains, such as healthcare, finance, insurance, and telco. Ming thrives on challenges and engagement and is committed to working with teams whose vision aligns with his values.

Portfolio

FWD Group
Azure Databricks, Databricks, Azure, Churn Analysis, Spark, PySpark...
ComfortDelgroGroup Zig
Amazon Web Services (AWS), Recommendation Systems, Search, Python, AWS Lambda...
Karetis
Amazon Web Services (AWS), Python, R, Statistics, Machine Learning...

Experience

Availability

Part-time

Preferred Environment

Jupyter Notebook, Visual Studio Code (VS Code), Amazon Web Services (AWS), Google Cloud Platform (GCP)

The most amazing...

...accomplishment I've achieved is the ability to deliver data-driven projects to improve lead conversion and segmentations via models and analytics.

Work Experience

Data Scientist

2021 - 2022
FWD Group
  • Led deliverables through the entire data model cycle, incorporating, developing, and standardizing the MLOps framework for models, features, and data. Accelerated model development and deployment to a matter of weeks.
  • Developed propensity-based model framework and campaign design.
  • Organized data-driven business decisions and campaign initiatives through analytical efforts and insights.
  • Implemented AI models and data pipelines on Azure via Databricks, Pyspark, and Python.
  • Handled campaign lead generations, product recommendations, lapse loyalty, and segmentation models for different markets and platforms.
  • Acted as the POC on using LLM to enhance coding practices and business use cases.
Technologies: Azure Databricks, Databricks, Azure, Churn Analysis, Spark, PySpark, Machine Learning, Leads, Scikit-learn, Pandas, Python, Data Analysis, Amazon S3 (AWS S3), Data Engineering, PyTorch

Senior Data Scientist

2021 - 2021
ComfortDelgroGroup Zig
  • Developed data pipelines and models for Zig on AWS. Introduced and guided other members on using SAM, serverless, terraform, and other data science and engineering aspects.
  • Utilized the federated search across providers, infrastructure, and the endpoint for search.
  • Worked with the point of interest, pick up, and drop off database structure along with the OpenStreetMap (OSM) service-level agreements (SLA) infrastructure.
Technologies: Amazon Web Services (AWS), Recommendation Systems, Search, Python, AWS Lambda, Quantitative Analysis, Amazon SageMaker, Scikit-learn, Pandas, Machine Learning, Data Analysis, Amazon EC2, Amazon S3 (AWS S3), Data Engineering, TensorFlow, AWS Glue, PyTorch

Data Scientist

2019 - 2021
Karetis
  • Delivered end-to-end data science projects, proof of concept, gathering requirements, and understanding the end-user needs to implement a fully automated solution.
  • Led technical data projects that deployed data pipelines (ETL) and models for analytics projects on AWS and Azure.
  • Coached, managed, and trained other team members in data science, consulting skills, and industry knowledge.
Technologies: Amazon Web Services (AWS), Python, R, Statistics, Machine Learning, Amazon SageMaker, Scikit-learn, Pandas, Data Analysis, Amazon EC2, Amazon S3 (AWS S3), Data Engineering, TensorFlow, AWS Glue

Data Scientist

2018 - 2019
Lynx Analytics
  • Delivered data models on suggestion recommendation, data discovery, data explanation, data analysis, machine learning, and modeling.
  • Maintained, implemented, and deployed data projects with telco for the customer lifetime value project and customer happiness index project.
  • Deployed data solutions of extract, transform, and load (ETL) through airflow and Luigi. Obtained data using ingestion, chaining, data pipeline, data warehouse, and workflow management.
Technologies: Spark, SQL, Python, Apache Airflow, Luigi, R, Scikit-learn, Pandas, Data Analysis, Data Engineering, Lynx

Physicist

2014 - 2017
Singapore General Hospital
  • Managed research and QA for the department’s dosimetry projects in radiology data, diagnostic reference level research, and radiation optimization.
  • Performed radiation research projects and QA on MRI, CT, and general X-Ray procedures.
  • Worked in the physics, application, and sales support areas. Managed planning, troubleshooting, educating, and QA for Elekta Radiotherapy products and HIS.
Technologies: Mathematical Analysis, Physics, R, Modeling, Pandas, Python

Leads Generation for Campaigns

Introducing data-driven leads for campaigns which include identifying high propensity prospects, segmenting the prospects for personalized EDM calls, and offering the most suitable next best product.
2013 - 2014

Master's Degree in Medical Physics

University of Sydney - Sydney, Australia

2009 - 2012

Bachelor's Degree in Physics

Australian National University - Canberra, Australia

DECEMBER 2022 - PRESENT

AWS Certified Data Analytics – Specialty

AWS

DECEMBER 2022 - PRESENT

AWS Certified Machine Learning – Specialty

AWS

DECEMBER 2022 - PRESENT

AWS Certified Solutions Architect – Professional

AWS

AUGUST 2022 - PRESENT

Microsoft Certified | Power BI Data Analyst Associate

Microsoft

DECEMBER 2021 - PRESENT

AWS Certified Developer | Associate

AWS

JANUARY 2020 - JANUARY 2023

AWS Certified SysOps Administrator Associate

AWS

JANUARY 2020 - DECEMBER 2025

AWS Certified Solutions Architect Associate

AWS

Libraries/APIs

PySpark, NumPy, Pandas, Scikit-learn, PyTorch, Luigi, TensorFlow, Amazon Rekognition

Tools

Jupyter, Git, Amazon SageMaker, AWS Glue, MATLAB, Microsoft Power BI, Apache Airflow, Tableau

Languages

Python, R, SQL, Fortran, C++11, Lynx

Platforms

Jupyter Notebook, Visual Studio Code (VS Code), Amazon Web Services (AWS), Databricks, Google Cloud Platform (GCP), Azure, AWS Lambda, Docker, Amazon EC2

Frameworks

Spark

Storage

Amazon S3 (AWS S3)

Other

Modeling, Mathematics, Azure Databricks, Machine Learning, Quantitative Analysis, Data Science, Data Analysis, Statistics, Churn Analysis, Recommendation Systems, Search, Mathematical Analysis, Data Engineering, Physics, Leads, Ad Campaigns, Data Analytics

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